Empirical Results: Capability Deprivations
This chapter presents the main results from the INLA-BYM2 spatial analysis.
- A one-unit increase in the DIESELPM (Environmental) is associated with approximately a 494.7% increase in the correctional population
- Census Response: -73.6 Strong negative relationship ➡️ Suggests community engagement & collective efficacy matters!
- Automobile access: -91
- Homeownership: -40.8
- Bachelor’s Degree: -88.4, Significant spatial clustering
- Education-employment interaction
Credible Intervals:
- 95% probability that the true parameter lies within a specific range, given the data
- Not significant: Not statistically significant (CI crosses zero). Very small effect size
Key Effects on Supervision Rates
- Environmental conditions (+494.7%)
- Transportation barriers (-91.0%)
- Educational access (-88.4%)
- Healthcare availability (-73.3%)
Interpretation
- Place strongly shapes outcomes
- Multiple barriers compound
- Resources matter significantly
- Context affects success
Targeted Strategies: High-Risk Areas (Negative ui)
-
Resource Development
- Expand treatment options
- Increase job programs
- Improve transportation
- Build support systems
-
Barrier Reduction
- Address access issues
- Enhance coordination
- Develop infrastructure
- Strengthen networks
Relative Risk: Results Visualization and Policy Translation
Spatial Patterns: Relative Risk Mapping
Relative Risk: Air Pollution
Relative Risk values > 1, this means there is higher risk than expected. Areas with higher RR values likely have more Diesel Particulate Matter than expected. 2.42 in Carbon County, then there is 142% more correctional population than expected. Or a place like Morgan county is 0.21 RR has 79% lower correctional population than expected which likely represents an area with better air quality.